International Monetary Fund

The Integration of Global Value Chain in the EU: Stylized Facts and Drivers

This paper examines EU global value-chain (GVC) integration and analyzes its drivers using machine learning models, with case ...
Tech Xplore

One image is all robots need to find their way

While the capabilities of robots have improved significantly over the past decades, they are not always able to reliably and ...
MIT Technology Review

The Download: mimicking pregnancy’s first moments in a lab, and AI parameters explained

At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning approach

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
IEEE

Learning the Optimal Discriminant SVM With Feature Extraction

Abstract: Subspace learning and Support Vector Machine (SVM) are two critical techniques in pattern recognition, playing pivotal roles in feature extraction and classification. However, how to learn ...
Frontiers

Assessing the learning potential of freshmen in labor education courses using ordinal features and support vector machine

Introduction: Artificial intelligence (AI) marks a new wave of the information technology revolution and permeates various sectors as an indispensable tool. Despite its widespread adoption, its ...
IEEE

HSF: A Hybrid SVM-RF Machine Learning Framework for Dual-Plane DDoS Detection and Mitigation in Software-Defined Networks

Abstract: Software-defined networking (SDN) has revolutionized network management by centralizing control through software, thereby enabling dynamic traffic adjustments that are independent of the ...
Scientific Research Publishing

Guido, R., Ferrisi, S., Lofaro, D., & Conforti, D. (2024). An Overview on the Advancements of Support Vector Machine Models in Healthcare Applications: A Review. Information ...

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Eater

An Honest Review of the Ninja Swirl by Creami, a Soft-Serve Dream Machine

If you buy something from a link, Vox Media may earn a commission. See our ethics statement. Hilary Pollack is the deputy editor at Eater. She has more than 15 years of experience in culture ...
Scientific Research Publishing

Machine Learning-Based Classification of Coronary Heart Disease: A Comparative Analysis of Logistic Regression, Random Forest, and Support Vector Machine Models ()

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...